The demand for advanced perception systems is growing across various sectors, and sensor fusion has become essential for improving environmental awareness and decision-making. By integrating LiDAR and CMOS sensors, we achieve depth perception and terrain mapping, but effective fusion requires synchronized data processing and optimized algorithms.
This approach provides a modular and scalable solution for sensor data fusion and synchronization applications. It offers portable components suitable for various applications that require edge processing, such as Automotive (in ADAS), Robotics, and scenarios that depend on remote or cloud processing, including advanced content streaming, video monitoring, and control, as we l as precise environmental mapping.
The demand for advanced perception systems is growing across various sectors, and sensor fusion has become essential for improving environmental awareness and decision-making. By integrating LiDAR and CMOS sensors, we achieve depth perception and terrain mapping, but effective fusion requires synchronized data processing and optimized algorithms.
This approach provides a modular and scalable solution for sensor data fusion and synchronization applications. It offers portable components suitable for various applications that require edge processing, such as Automotive (in ADAS), Robotics, and scenarios that depend on remote or cloud processing, including advanced content streaming, video monitoring, and control, as we l as precise environmental mapping.
The client is a manufacturer of embedded hardware boards based in the United States. Their embedded boards are targeted to applications…
The client is a Europe-based semiconductor firm. They provide custom silicon solutions across different domains like automotive, consumer…
The client is a US-based company that offers immersive multimedia solutions. They provide next-generation media technology for automotive…
Upcoming Webinar: Rethinking Functional Safety [FuSa] for Software-Defined Vehicles [SDVs]
Upcoming Webinar: Rethinking Functional Safety [FuSa] for Software-Defined Vehicles [SDVs]